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Netke

He is the CEO and President of Amberoon Inc. a provider of data-driven business perspective solutions. He has extensive leadership experience in high-growth technology companies with general management responsibilities covering sales, marketing, finance and operations. His past roles have included President of Aztecsoft Ltd., President of Absolute Quality (AQ), CEO for Microland Inc. and EVP, Business Analytics Solutions for Saama.

At Aztecsoft, he executed a strategy to position the company as a category leader and grew revenues three-fold in 24 months that created $180M in shareholder value. While at AQ, he transformed the company from a small console gaming services provider to a prominent industry player with a broader range of services while acquiring new clients in social gaming.

Before joining Aztecsoft, Shirish held leadership positions at Sun Microsystems for over a decade in the areas of international sales, marketing and channel management. His roles included channels director for a $700M business unit and strategic sales director for software. As a part of Sun’s international sales team, he worked with customers and channel partners in 35 countries in Asia, Europe, Latin America and Africa. He was also the founder and chairman of the SchoolTone Alliance, a non-profit industry consortium to offer digital content to schools in the US. He began his career at Wipro Technologies as one of its first 25 employees.

Defining Business Analytics

What is Business Analytics? Business Analytics is the intersection of business and technology, offering new opportunities for a competitive advantage. Business analytics unlocks the predictive potential of data analysis to improve financial performance, strategic management, and operational efficiency.

What is BI? BI is the "computer-based techniques used in spotting, digging-out, and analyzing 'hard' business data, such as sales revenue by products or departments or associated costs and incomes. Objectives of BI implementations include (1) understanding of a firm's internal and external strengths and weaknesses, (2) understanding of the relationship between different data for better decision making, (3) detection of opportunities for innovation, and (4) cost reduction and optimal deployment of resources." (Business Dictionary). Most widely used BI tool is Microsoft Excel.
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What is Big Data? Big data refer to data scenarios that grow so large (petabytes and more) that they become awkward to work with using traditional database management tools. The challenge stems from data volume + flow velocity + noise to signal conversion. Big data is spawning new tools that are mix of significant processing power, parallelism and statistical, machine learning, or pattern recognition techniques
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Corporate performance management software and performance management concepts, such as the balanced scorecard, enable organizations to measure business results and track their progress against business goals in order to improve financial performance.
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Data visualization tools, include mashups, executive dashboards, performance scorecards and other data visualization technology, is becoming a major category.
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BI platforms provide a range of capabilities for building analytical applications. Examples are Oracle OBIEE, SAP Business Objects 4.0. There are many choices and combinations of BI platforms, capabilities and use cases as well as many emerging BI technologies such as in memory analytics, interactive visualization and BI integrated search. The idea of standardizing on one supplier for all of one’s BI capabilities is difficult to do. Increasingly, standardization and more about managing a portfolio of tools used for a set of capabilities and use cases.
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Data integration tools and architectures in support of BI continue to evolve. Extract-Transfer-Load (ETL) tools make up a big segment of this category in addition to data mapping tools. Organizations must now support a range of delivery styles, latencies, and formats.
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BI is about "sense and respond." Analytics is about "anticipate and shape" models.

About

Business Analytics 3.0 blog is meant for decision makers and managers who are trying to make sense of the rapidly changing technology landscape and build next generation solutions. It is aimed at helping business decision makers navigate the "Raw Data -> Aggregate Data -> Intelligence -> Insight -> Decisions" chain.